Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.06079.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:33:02.820968Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T02:25:55.886294Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation b34a91bc-ede1-4ca6-9fce-25bd053e69b7 · inbound
PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning cites this paper.
PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:33:02.820968Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ce6d9bd-f0e1-424a-8712-342fe507c107 · inbound
Selective Timestep Weighting and Advantage-Based Replay for Sample-Efficient Diffusion RLHF cites this paper.
Selective Timestep Weighting and Advantage-Based Replay for Sample-Efficient Diffusion RLHF TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T02:25:55.887521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.